3.11.1. Machine Learning in Image Classification

Try these first

1. 1.

   What does Machine Learning refer to?

   Hint

   Think about how computers learn from experience.

2. 2.

   What is a key requirement for training a machine learning model effectively?

   Hint

   Ask yourself what type of data helps in training models.

3. 3.

   What does a Support Vector Machine do in machine learning?

   • It filters data
   • It separates classes
   • It enhances image resolution

   Hint

   Think about how different classes are kept apart.

4. 4.

   True or False: CNNs are specifically designed for processing image data.

   • True
   • False

   Hint

   Reflect on the name and its functions.

5. 5.

   Propose a comprehensive approach for training a CNN for urban mapping. Include how to prepare your dataset, handle challenges, and evaluate the model.

   Hint

   Consider the importance of data quality and evaluation criteria.

6. 6.

   Analyze the limitations of machine learning in satellite image classification. Suggest improvements that could lead to more reliable models.

   Hint

   Reflect on real-world applications and the challenges they face.